5 beste Stellen als data science machine learning python in zürich, zh – aktuell auf Personalsuche

Sika is a specialty chemicals company with a globally leading position in the development and production of systems and products for bonding, sealing, damping, reinforcing, and protection in the building sector and industry. Sika has subsidiaries in 103 countries around the world, produces in over 400 factories, and develops innovative technologies for customers worldwide. In doing so, it plays a crucial role in enabling the transformation of the construction and transportation industries toward greater environmental compatibility. Approximately 33,000 employees generated CHF 11.20 billion in sales in 2025.

Job Description

We are looking for a Master thesis student with a background in business, chemistry/material science and data science to support a global procurement analytics initiative.

The thesis will explore how technical material information such as SDS, PDS, specifications and item descriptions can be transformed into a structured Material DNA and linked with procurement data for clustering, benchmarking and negotiation support.

The student will work on one selected pilot category, develop a first material intelligence framework, test clustering or data analysis approaches, and create practical outputs for procurement decision-making.

Qualifications

Current Master studies in a relevant field, e.g. Business Chemistry, Chemical Engineering, Industrial Engineering, Data Science, Business Analytics or similar.
Good understanding of Chemistry, Materials or technical product specifications.
Strong analytical thinking and interest in procurement, supply markets and business impact.
Basic to good data science skills, e.g. Python, data cleaning, clustering, text analysis, machine learning or data visualization.
Ability to translate technical information into business-relevant insights.
Structured working style and ability to handle incomplete or imperfect data.

Additional Information

We offer competitive salaries, aligned with local market benchmarks and the specific scope and responsibilities of each role. Compensation is determined based skills relevant to the position, education and/or training. We are committed to fair and equitable pay practices in accordance with applicable laws and regulations.

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